Journal of Rehabilitation Research & Development (JRRD)

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Trainer variability during step training after spinal cord injury: Implications for robotic gait-training device design

Jose A. Galvez, PhD, et al.


Figure 3. Example of statistical analyses. Plot shows knee extension force during midstance for each trainer versus trainer skill rating in training session for leg of patient with spinal cord injury. From data such as these, we calculated correlation coefficient and significance of correlation. Triangles denote confidence intervals at p < 0.05 for means of knee extension force (fy, knee) for each trainer (for three bouts of 20???30 steps each). We noted significant differences between pairs of trainers when such confidence intervals did not overlap.

Over 2.5 million people worldwide live with spinal cord injury (SCI)-induced paralysis, a condition that affects a large number of veterans. Clinical research has shown that step training with body-weight support on a treadmill (BWST) and manual assistance can benefit people with SCI. Worldwide efforts are being made to automate BWST training with robotic devices. We measured the movements and forces that therapists exerted on patients during BWST training to assess the most effective manual training patterns and to use them to design more effective robotic gait-training strategies.

Volume 48 Number 2, 2011
   Pages 147 — 160


View HTML  ¦  View PDF  ¦  Contents Vol. 48, No. 2
This article and any supplementary material should be cited as follows:
Galvez JA, Budovitch A, Harkema SJ, Reinkensmeyer DJ.
Trainer variability during step training after spinal cord injury: Implications for robotic gait-training device design.
J Rehabil Res Dev. 2011;48(2):147-60.
DOI:10.1682/JRRD.2010.04.0067
Crossref

Last Reviewed or Updated  Wednesday, February 9, 2011 3:04 PM

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